Closing Invoice-to-Pay Gaps to Unify Finance

The gap isn't just operational—it's strategic. Leaders closing it achieve dramatically different outcomes. Gartner's 2025 Magic Quadrant positions invoice-to-pay (I2P) leaders as those hitting 90%+ touchless processing by treating the invoice as the single source of payment truth—unlocking contextual intelligence that siloed payment solutions can't access. Tungsten Automation supports analyst findings with customers achieving invoices processed in minutes at 90%+ accuracy, creating the intelligence needed for seamless payment orchestration.

This capability gap is accelerating: IDC forecasts 66% of AP departments fully automated by late 2025, with AI orchestrating 40% of tasks across invoicing and payments—leaving early adopters with unmatched treasury control and working capital advantages.

This article reveals what closing the I2P gap means for you: treasury gains real-time supplier intelligence, AP eliminates reconciliation toil, suppliers get consumer-grade experiences, and CFOs capture systematic working capital gains—through embedded orchestration where invoice data drives intelligent payment execution.

The invoice-to-payment intelligence gap

What if every approved invoice carried its full intelligence—terms, supplier history, GL codes, PO matching, approval trail—directly into payment execution? Right now, the I2P intelligence gap wastes that goldmine: your rich invoice data hits payment systems that treat each transaction like a blank slate, blind to context.

As a buyer, this means watching DPO opportunities slip because payment timing ignores invoice terms, missing discount windows you could've captured, treasury reworking failed payments due to unvalidated bank details, and compliance violations surfacing in audits when sanctions flags were right there in the invoice data.

Your suppliers suffer too—unpredictable payment timing despite clear net-30 terms, opaque status updates forcing constant chasing, rejected payments because bank details weren't cross-checked against invoice history, and frustration navigating your disconnected AP-to-treasury maze.

Your Invoice-to-Pay platform may already excel at invoice capture, validation, and approvals, but lacks payment orchestration context. Without it:

• Supplier preferences (ACH vs. vCard vs. RTP) get ignored, driving inquiries and delays
• Working capital levers (dynamic discounts, FX timing) remain invisible
• Compliance risks (sanctions, tax mandates, new bank details) surface post-execution
• Reconciliation fails at scale—unmatched payments consume 30% of AP time

The Association for Finance Professionals (AFP) benchmarks AP. Their study confirms integrated invoice-to-payment flows cut cycles by 50%, while uncoordinated teams lose 20-30% to global e-invoicing mandates. The bridge? AI that extracts invoice intelligence once, then orchestrates payments continuously.

AI agents: Extracting payment intelligence from every invoice

As enterprises scale, invoice-to-pay (I2P) processes that were once heavily manual are now being transformed by embedded AI agents. Leading platforms are deploying intelligent agents that can ingest any invoice format—paper, PDF, XML, or even email—and extract structured data with over 95% accuracy. Unlike traditional OCR or rule-based capture, these agents continuously learn from exceptions and user corrections, improving performance over time.

Crucially, AI agents don’t just capture data—they add rich context that strengthens downstream payment decisions. They analyze

• Supplier context: Historical acceptance rates, preferred rails, geography
• Financial terms: Net days, discount windows, currency, tax rules
• Policy alignment: GL codes, approver rules, spend category
• Risk signals: New banks, unusual amounts, sanctions flags

Tungsten Automation’s latest benchmarks show that finance teams using AI-driven invoice processing are now reaching over 90% touchless rates—transforming cycle times that once took days into near real-time approvals. These continuous-learning models don’t just accelerate processing; they help prevent downstream errors by improving with every exception handled.

Research from Gartner reinforces this direction, forecasting that by 2026, AI will manage 40% of repetitive invoice-to-pay tasks. The takeaway: automation is moving beyond capture to orchestrate the full workflow—where each invoice informs smarter approvals, risk evaluation, and payment decisions across the I2P lifecycle.

Embedded orchestration: Where invoice intelligence generates orchestrated payments

Once invoice data is structured and validated, finance teams gain something more powerful than visibility—the ability to act with precision. Payment orchestration applies AI to connect invoice intelligence directly to payment execution, using existing banking relationships and rails.

Through this integration of invoice and payment intelligence, finance leaders achieve:

• Smart rail selection: Routes each payment over ACH, RTP, vCard, or wire, based on total cost, speed, rebate potential, and supplier preferences learned from past transactions.
• Timing optimization: Balances working capital and DPO targets by analyzing invoice aging and cash‑flow forecasts in real time.
• Pre‑execution compliance: Performs sanctions, KYB, and tax validation directly against invoice data before funds move—reducing errors and audit risk.
• Supplier experience: Delivers full transparency from invoice approval through settlement, driving supplier trust and retention.

Your I2P platform roadmap should have AI that enables invoice‑aware reconciliation, where machine learning matches payments to their source invoices automatically and highlights anomalies before release.

Closed-loop intelligence: Payments that learn and adapt

Finance organizations increasingly expect automation to improve with every transaction, not just execute it. Closed‑loop intelligence delivers exactly that—continuously feeding payment outcomes back into the system to refine future invoice and payment decisions.

• Every payment event strengthens the model:
• Failed rails adjust supplier banking instructions automatically.
• Discount patterns shape future offers for optimal yield.
• Fraud and error signals proactively retrain detection logic, enhancing control.

This cycle turns I2P into a self‑improving intelligence network that enhances accuracy, policy compliance, and liquidity management over time. As IDC notes, “Composable ERP + AI will enable 80% of enterprises to orchestrate I2P in real time by 2026.” Tungsten Copilot brings this to life, surfacing actionable insights to align AP and treasury objectives in real time.

Real outcomes for finance leaders with unified I2P

When invoice and payment intelligence operate as a single system, finance gains measurable control, efficiency, and strategic agility.

Unlock the full potential of I2P with a partner built for modern finance

Frequently Asked Questions (FAQ)

What is the invoice-to-payment intelligence gap?

How do AI agents extract payment intelligence from invoices?

What does “embedded orchestration” mean in invoice-to-pay?

What is closed-loop intelligence, and why does it matter?

What outcomes can finance leaders expect from a unified invoice-to-pay approach?